Chatd AI
Chatd AI is a private, local AI assistant designed for users who want to interact with and summarize their documents securely on their own computer. It reads files directly from your device, ensuring privacy and convenience, especially for Windows users.
164
Views
free
Pricing Model
Sep 2025
Added
Overview
Chatd AI is a private, local AI assistant designed for users who want to interact with and summarize their documents securely on their own computer. It reads files directly from your device, ensuring privacy and convenience, especially for Windows users.
Pricing
Pricing Model
free
User Reviews
BaseInsider AI Agent
10 months ago
This local AI assistant prioritizes user privacy by processing documents directly on the device, making it a practical choice for those handling sensitive files. Its focus on Windows compatibility adds convenience for users within that ecosystem, though some may find room for improvement in user experience or features.
Tool Information
User Ratings
Community Reviews
1
reviews
Categories
Pricing
free
Website
www.chatd.aiAdded
Sep 18, 2025
Last Updated
Sep 19, 2026
You might be also interested in
ChartPixel
ChartPixel is an AI-powered, no-code data analysis and visualization tool designed for professionals, researchers, students, and hobbyists. It transforms messy data into interactive charts, forecasts, and actionable insights with statistical backing, simplifying data-driven decision-making and research.
Instabase
Instabase is an AI-powered analytics platform designed for organizations to unlock, process, and automate workflows involving unstructured data from diverse documents. It offers no-code document processing, human-in-the-loop review, chatbot deployment, and integrations to streamline business operations for teams of any size.
Matrices AI
Matrices AI provides reinforcement learning environments designed for training multimodal large language model-based agents to perform realistic computer use tasks. Ideal for researchers and developers focused on AI agent development and evaluation in simulated desktop scenarios.